Evidence map›Paper›PMID 40707485›Full record

ArticleScientific data2025

Mesopelagic Mesozooplankton and Micronekton Database.

Yulia Egorova, Evgeny A Pakhomov, Ian McIvor, Andrea Le, Tymofiy Spesivy

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yulia EgorovaDepartment of Earth, Ocean, and Atmospheric Sciences, University of British Columbia, 2207 Main Mall, Vancouver, British Columbia, Canada. egorova.uu@gmail.com.ORCID http://orcid.org/0000-0002-8712-7789
Evgeny A PakhomovDepartment of Earth, Ocean, and Atmospheric Sciences, University of British Columbia, 2207 Main Mall, Vancouver, British Columbia, Canada.ORCID http://orcid.org/0000-0002-6145-2129
Ian McIvorAzimuth Consulting Group, 2902 W Broadway, Vancouver, British Columbia, Canada.
Andrea LeDepartment of Earth, Ocean, and Atmospheric Sciences, University of British Columbia, 2207 Main Mall, Vancouver, British Columbia, Canada.
Tymofiy SpesivyDepartment of Earth, Ocean, and Atmospheric Sciences, University of British Columbia, 2207 Main Mall, Vancouver, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Mesopelagic Mesozooplankton and Micronekton Database (MMMD) compiles quantitative data on the distribution and density of mesopelagic (200-1000 m) mesozooplankton and micronekton (0.2-20 mm and 20-200 mm) species, using 258 published and unpublished sources spanning from 1880 to 2016. This extensive dataset includes 266,611entries, covering a broad temporal, spatial range and diel changes with varying levels of completeness. The data were standardized to address inconsistencies in sampling methods, mesh sizes, and taxonomic classifications. Despite some limitations, including gaps in spatial and depth coverage, the database provides a valuable resource for the mesopelagic macro-ecological research, which is updatable. Comparisons with existing databases underscore its unique contributions to the study of mesopelagic ecosystems.

Identifiers

PMID40707485
PMCPMC12289974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.